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Eigendomain-based noise estimation with the minimum statistics approach
- Author(s)
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- Vinesh Bhunjun, (Dept of Elec Eng, Imperial College London)
- Mike Brookes, (Dept of Elec Eng, Imperial College London)
- Jimi Y. C. Wen, (Dept of Elec Eng, Imperial College London)
- Topics
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- Noise and acoustic environments and characteristics
- Sound enhancement and sound separation
- Noise reduction techniques
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Abstract
One of the challenges for single-channel speech enhancement is to estimate the noise statistics from a signal containing both speech and noise. In this paper, we present a technique for eigendomain-based noise estimation that uses minimum statistics to control the adaptation rate along each eigenvector. We demonstrate that this technique gives robust noise tracking for non-stationary noise.
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